Reliable Methods for Computer Simulation :Error Control and Posteriori Estimates ( Volume 33 )

Publication subTitle :Error Control and Posteriori Estimates

Publication series :Volume 33

Author: Neittaanmäki   Pekka;Repin   Sergey R.  

Publisher: Elsevier Science‎

Publication year: 2004

E-ISBN: 9780080540504

P-ISBN(Paperback): 9780444513762

P-ISBN(Hardback):  9780444513762

Subject: O241 数值分析;TP3 Computers

Language: ENG

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Description

Recent decades have seen a very rapid success in developing numerical methods based on explicit control over approximation errors. It may be said that nowadays a new direction is forming in numerical analysis, the main goal of which is to develop methods ofreliable computations. In general, a reliable numerical method must solve two basic problems: (a) generate a sequence of approximations that converges to a solution and (b) verify the accuracy of these approximations. A computer code for such a method must consist of two respective blocks: solver and checker.

In this book, we are chiefly concerned with the problem (b) and try to present the main approaches developed for a posteriori error estimation in various problems.

The authors try to retain a rigorous mathematical style, however, proofs are constructive whenever possible and additional mathematical knowledge is presented when necessary. The book contains a number of new mathematical results and lists a posteriori error estimation methods that have been developed in the very recent time.

· computable bounds of approximation errors
· checking algorithms
· iteration processes
· finite element methods
· elliptic type problems
· nonlinear variational problems
· variational inequalities

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 6

Contents

pp.:  6 – 12

Chapter 1. Introduction

pp.:  12 – 18

Chapter 2. Mathematical background

pp.:  18 – 34

Chapter 3. A posteriori estimates for iteration methods

pp.:  34 – 50

Chapter 4. A posteriori estimates for finite element approximations

pp.:  50 – 90

Chapter 5. Foundations of duality theory

pp.:  90 – 136

Chapter 6. Two-sided a posteriori estimates for linear elliptic problems

pp.:  136 – 220

Chapter 7. A posteriori estimates for nonlinear variational problems

pp.:  220 – 256

Chapter 8. A posteriori estimates for variational inequalities

pp.:  256 – 292

Bibliography

pp.:  292 – 312

Notation

pp.:  312 – 314

Index

pp.:  314 – 318

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